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Mobile Radio Tomography: Agent-Based Imaging

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BNAIC 2016: Artificial Intelligence (BNAIC 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 765))

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Abstract

Mobile radio tomography applies moving agents that perform wireless signal strength measurements in order to reconstruct an image of objects inside an area of interest. We propose a toolchain to facilitate automated agent planning, data collection, and dynamic tomographic reconstruction. Preliminary experiments show that the approach is feasible and results in smooth images that clearly depict objects at the expected locations when using missions that sufficiently cover the area of interest.

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Authors and Affiliations

  1. Mathematical Institute, Leiden, The Netherlands

    K. Joost Batenburg

  2. CWI, Amsterdam, The Netherlands

    K. Joost Batenburg

  3. Leiden Institute of Advanced Computer Science (LIACS), Leiden, The Netherlands

    Leon Helwerda, Walter A. Kosters & Tim van der Meij

Authors
  1. K. Joost Batenburg
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  2. Leon Helwerda
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  3. Walter A. Kosters
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  4. Tim van der Meij
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Corresponding author

Correspondence to Walter A. Kosters .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Tibor Bosse

  2. Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands

    Bert Bredeweg

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Batenburg, K.J., Helwerda, L., Kosters, W.A., van der Meij, T. (2017). Mobile Radio Tomography: Agent-Based Imaging. In: Bosse, T., Bredeweg, B. (eds) BNAIC 2016: Artificial Intelligence. BNAIC 2016. Communications in Computer and Information Science, vol 765. Springer, Cham. https://doi.org/10.1007/978-3-319-67468-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-67468-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67467-4

  • Online ISBN: 978-3-319-67468-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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